This scientific paper focuses on the application of an advanced non-destructive technique for an effective inspection of railway axles. The method pertains to ultrasonic techniques, which are widely used in the railway field. The experimental investigation was carried out on simulated defects tooled near the cross section reduction of the axle, in order to simulate fatigue cracks which, due to notch effect, can trigger crack propagation and axle failure. The aim of this research activity is to evaluate how efficiently the proposed technique detects defects and to verify its applicability to axles with a black coating for protection. In view of the experimental setup, comprising a pulsed laser for ultrasonic waves generation and a continuous beam laser plus an interferometer as the receiving unit to measure surface displacements, the presence of a black coating represents a major challenge in terms of signal detection. Nonetheless, defects were detected by collecting all the waves in a B-scan map and data were processed by cross-reading A-scans and B-Scans in correspondence of each defect analysed. Results of the analysis show how very promising and robust the application of the proposed laser ultrasonics technique is in defect detection on painted railway axles.

Montinaro N., Epasto G., Cerniglia D., Guglielmino E. (2020). Laser ultrasonics for defect evaluation on coated railway axles. NDT & E INTERNATIONAL, 116 [10.1016/j.ndteint.2020.102321].

Laser ultrasonics for defect evaluation on coated railway axles

Montinaro N.
Writing – Original Draft Preparation
;
Cerniglia D.;
2020-01-01

Abstract

This scientific paper focuses on the application of an advanced non-destructive technique for an effective inspection of railway axles. The method pertains to ultrasonic techniques, which are widely used in the railway field. The experimental investigation was carried out on simulated defects tooled near the cross section reduction of the axle, in order to simulate fatigue cracks which, due to notch effect, can trigger crack propagation and axle failure. The aim of this research activity is to evaluate how efficiently the proposed technique detects defects and to verify its applicability to axles with a black coating for protection. In view of the experimental setup, comprising a pulsed laser for ultrasonic waves generation and a continuous beam laser plus an interferometer as the receiving unit to measure surface displacements, the presence of a black coating represents a major challenge in terms of signal detection. Nonetheless, defects were detected by collecting all the waves in a B-scan map and data were processed by cross-reading A-scans and B-Scans in correspondence of each defect analysed. Results of the analysis show how very promising and robust the application of the proposed laser ultrasonics technique is in defect detection on painted railway axles.
2020
Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine
Montinaro N., Epasto G., Cerniglia D., Guglielmino E. (2020). Laser ultrasonics for defect evaluation on coated railway axles. NDT & E INTERNATIONAL, 116 [10.1016/j.ndteint.2020.102321].
File in questo prodotto:
File Dimensione Formato  
pagination_JNDT_102321.pdf

Solo gestori archvio

Descrizione: Articolo principale
Tipologia: Post-print
Dimensione 1.4 MB
Formato Adobe PDF
1.4 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
1-s2.0-S0963869520301559-main.pdf

Solo gestori archvio

Tipologia: Versione Editoriale
Dimensione 2.13 MB
Formato Adobe PDF
2.13 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Manuscript_revised_final__1_.pdf

accesso aperto

Descrizione: articolo
Tipologia: Pre-print
Dimensione 1.29 MB
Formato Adobe PDF
1.29 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/424848
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 23
  • ???jsp.display-item.citation.isi??? 20
social impact